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Tag: AWS Lake Formation

Identify cybersecurity anomalies in your Amazon Security Lake data using Amazon SageMaker | Amazon Web Services

Customers are faced with increasing security threats and vulnerabilities across infrastructure and application resources as their digital footprint has expanded and the business impact...

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Get insights on your user’s search behavior from Amazon Kendra using an ML-powered serverless stack | Amazon Web Services

Amazon Kendra is a highly accurate and intelligent search service that enables users to search unstructured and structured data using natural language processing (NLP)...

Extract non-PHI data from Amazon HealthLake, reduce complexity, and increase cost efficiency with Amazon Athena and Amazon SageMaker Canvas

In today’s highly competitive market, performing data analytics using machine learning (ML) models has become a necessity for organizations. It enables them to unlock...

AWS Unveils Amazon Security Lake at re:Invent 2022

Amazon Web Services unveiled the Amazon Security Lake, a standards-based data lake for security data, at this week's AWS re:Invent 2022 conference. The new...

Apply fine-grained data access controls with AWS Lake Formation and Amazon EMR from Amazon SageMaker Studio

Amazon SageMaker Studio is a fully integrated development environment (IDE) for machine learning (ML) that enables data scientists and developers to perform every step...

Build and train ML models using a data mesh architecture on AWS: Part 2

This is the second part of a series that showcases the machine learning (ML) lifecycle with a data mesh design pattern for a large...

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